Dataset Information

Glycaemic variability, assessed with continuous glucose monitors, is associated with diet, lifestyle and health in people without diabetes.

ABSTRACT:

Background

Continuous glucose monitors (CGMs) provide high-frequency information regarding daily glucose variation and are recognised as effective for improving glycaemic control in individuals living with diabetes. Despite increased use in individuals with non-diabetic blood glucose concentrations (euglycemia), their utility as a health tool in this population remains unclear.

Objectives

To characterise variation in time in range (TIR) and glycaemic variability in large populations without diabetes or impaired glucose tolerance; describe associations between CGM-derived glycaemic metrics and metabolic and cardiometabolic health traits; identify key diet and lifestyle factors associated with TIR and glycaemic variability.

Design

Glycaemic variability (coefficient of variation) and time spent in both the ADA secondary target range (TIR_ADA; 3.9-7.8 mmol/L) and a more stringent range (TIR_3.9-5.6; 3.9-5.6 mmol/L) were calculated during free-living in PREDICT 1, PREDICT 2, and PREDICT 3 euglycaemic community-based volunteer cohorts. Associations between CGM derived glycaemic metrics, markers of cardiometabolic health, diet (food frequency questionnaire and logged diet records), diet-habits, and lifestyle were explored.

Results

Data from N=4135 participants (Mean SD; Age: 47 12 y; Sex: 83% Female, BMI: 27 6 kg/m²). Median glycaemic variability was 14.8% (IQR 12.6-17.6%), median TIR_ADA was 95.8% (IQR 89.6-98.6%) and TIR_3.9-5.6 was 75.0% (IQR 64.6-82.8%). Greater TIR_3.9-5.6 was associated with lower HbA1c, ASCVD 10y risk and HOMA-IR (all p < 0.05). Lower glycaemic variability was associated with lower % energy derived from carbohydrate (r_s: 0.17, p < 0.01), ultra-processed foods (NOVA 4, % EI; r_s: 0.12, p = 0.01) and a longer overnight fasting duration (r_s: -0.10, p = 0.01).

Conclusions

A stringent TIR target provides sensitivity to detect changes in HOMA-IR, ASCVD 10 y risk and HbA1c that were not detected using ADA secondary targets. Associations among TIR, glycaemic variability, dietary intake (e.g. carbohydrate and protein) and habits (e.g. nocturnal fasting duration) highlight potential strategic targets to improve glycaemic metrics derived from continuous glucose monitors.

SUBMITTER: Bermingham KM

PROVIDER: S-EPMC10635370 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Glycaemic variability, assessed with continuous glucose monitors, is associated with diet, lifestyle and health in people without diabetes.

Bermingham Kate M KM Smith Harry A HA Gonzalez Javier T JT Duncan Emma L EL Valdes Ana M AM Franks Paul W PW Delahanty Linda L Dashti Hassan S HS Davies Richard R Hadjigeorgiou George G Wolf Jonathan J Chan Andrew T AT Spector Tim D TD Berry Sarah E SE

Research square 20231030

<h4>Background</h4>Continuous glucose monitors (CGMs) provide high-frequency information regarding daily glucose variation and are recognised as effective for improving glycaemic control in individuals living with diabetes. Despite increased use in individuals with non-diabetic blood glucose concentrations (euglycemia), their utility as a health tool in this population remains unclear.<h4>Objectives</h4>To characterise variation in time in range (TIR) and glycaemic variability in large populatio ...[more]

PMID: 37961419

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Dataset Information

Glycaemic variability, assessed with continuous glucose monitors, is associated with diet, lifestyle and health in people without diabetes.

Background

Objectives

Design

Results

Conclusions

Publications

Glycaemic variability, assessed with continuous glucose monitors, is associated with diet, lifestyle and health in people without diabetes.

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